来源：
核酸结果统计难？复旦博士生的操作火了
https://m.gmw.cn/baijia/2022-04/08/35644611.html
1 程序背景
学校要收核酸截图，汇总太麻烦了，故将OCR整合到数据中。
1.1 命名规范
20200250202003曹文举4.12阴性.jpg
1.2 EasyOCR
easyOCRhttps://github.com/JaidedAI/EasyOCR
pip install easyocr2 程序
import timeit
import xlsxwriter
import cv2 as cv
import numpy as np
import os
import easyocr
import re
os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'
def load_file_name(file_name):
# file_name = "201902811221邱江4.12阴性.jpg"
file_result_date_no = re.findall(r"\d+", file_name)
no = file_result_date_no[0]
date = '2022-0' + file_result_date_no[1] + '-' + file_result_date_no[2]
file_result_name_name_check = re.findall('[\u4e00-\u9fa5]', file_name)
# print(file_result_name_name_check)
check = file_result_name_name_check[len(file_result_name_name_check)-2] +file_result_name_name_check[len(file_result_name_name_check)-1] # 检测结果
up = len(file_result_name_name_check)-2
name = ''
for i in range(up):
name = name + file_result_name_name_check[i]
# print("姓名：",name)
# print("日期：",date)
# print("学号：",no)
# print("结果：",check)
return name,date,no,check
def load_image(path,name,date,check):
# coding=utf-8
# 当前目录读取一张图片,转化为灰色
img = cv.imdecode(np.fromfile(path, dtype=np.uint8), 0)
reader = easyocr.Reader(['ch_sim', 'en'])
result = reader.readtext(img)
# 拼接单个图片的识别结果
result_str = ''
for i in result :
result_str = result_str+i[1]
# print("包含无关文字：", result_str)
temp = re.sub('[a-zA-Z]', '', result_str)
# print("去掉无关文字：",temp)
a = temp.find("若上述")
result = temp[0:a]
# print(result)
# print("消除无用信息：",result)
result = result.replace('\n', '') # 去掉换行符
result = result.replace(' ', '') # 去掉空格
result = result.replace(':', '') # 去掉-
result = result.replace('：', '') # 去掉-
result = result.replace("核酸检测结果为","")
result = result.replace("核酸检测结果","")
# print(result)
# 姓名校正
if result.find(name) == -1:
# print("识别失败")
name_ocr = "识别失败"
check_ocr = "字体原因识别失败"
else:
# print("名字校正成功：",name)
# name_ocr = name
name_ocr = "姓名正确"
# 阴性与阳性
if result.find(check) == -1:
# print("识别失败")
check_ocr = "字体原因识别失败/"
else:
# print("识别结果与文件核酸结果相同")
check_ocr = "核酸结果一致"
result = result.replace('阴性', '')
result = result.replace('阳性', '')
# 检测机构
if result.find("检测机构") == -1:
# print("识别失败")
organization_ocr = "字体原因识别失败"
check_ocr = "字体原因识别失败/"
else:
index = result.find("检测机构")
# print("检测机构:",result[index+4:])
organization_ocr = result[index+4:]
result = result[0:index]
# 核酸检测时间
if result.find("检测时间") == -1:
date_ocr = "字体原因识别失败"
check_ocr = "字体原因识别失败/"
# print("识别失败")
else:
index = result.find("检测时间")
# print("检测时间：",result[index + 4:])
date_ocr = result[index + 4:]
if date_ocr == date:
date_ocr = "检测时间正确"
result = result[0:index - 1]
return name_ocr,check_ocr,organization_ocr,date_ocr
# 读取函数，用来读取文件夹中的所有函数，输入参数是文件名
def read_directory(directory_name):
for filename in os.listdir(directory_name):
for filename_1 in os.listdir(directory_name+"/"+filename):
# print(filename_1) # 仅仅是为了测试
name,date,no,check = load_file_name(filename_1)
path = directory_name + "/" + filename+"/"+filename_1
name_ocr,check_ocr,organization_ocr,date_ocr = load_image(path,name,date,check)
print("提交数据：",name,date,check,no)
print("OCR数据：",name_ocr,date_ocr,check_ocr,organization_ocr)
result_list = [name,date,check,no,name_ocr,date_ocr,check_ocr,organization_ocr]
result_list_total.append(result_list)
if __name__ == '__main__':
start = timeit.default_timer()
# 保存excel
result_list_total=[["姓名","日期","核算结果","学号","姓名校对","时间校对","核酸状态校对","核酸医院"]]
read_directory("./imge")#这里传入所要读取文件夹的绝对路径，加引号（引号不能省略！）
# xlsxwriter只可以新建一个excel，不可以读取和更新
# 创建一个workbook 和增加一个worksheet，默认为sheet1...，也可以直接为sheet命名，例如下边的test
workbook = xlsxwriter.Workbook('./data.xlsx')
# 添加 sheet
worksheet = workbook.add_worksheet("elite") # 下方Sheet名
worksheet.set_column(0,len(result_list_total),18) #全部列宽为18
# 测试数据
result_list_total = tuple(result_list_total)
print(result_list_total)
# 从首行、首列开始.
row = 0
col = 0
# 通过迭代写入数据.
for name,date,check,no,name_ocr,date_ocr,check_ocr,organization_ocr in (result_list_total):
worksheet.write(row, col, name)
worksheet.write(row, col + 1, date)
worksheet.write(row, col + 2, check)
worksheet.write(row, col + 3, no)
worksheet.write(row, col + 4, name_ocr)
worksheet.write(row, col + 5, date_ocr)
worksheet.write(row, col + 6, check_ocr)
worksheet.write(row, col + 7, organization_ocr)
row += 1
# 只有此函数才可以生成excel
workbook.close()
#中间写上代码块
end = timeit.default_timer()
print('一共耗时 %s 秒'%(end-start))
total = len(result_list_total)
print("处理完毕，共处理 %s 条学生信息"%total)3 结果
